Ebola, COVID-19 and Africa: What we expected and what we got
Developing World Bioethics
|September 20, 2020
Abstract:
Democratic Republic of the Congo's fight with Ebola was just settling when WHO declared COVID-19 to be a global pandemic on March 12, 2020. This has caused concomitant setbacks in the treatment and control of major health issues like HIV, tuberculosis, measles, and malaria in the country. This, coupled with civil unrest and risk to the safety of the health workers, is a 'perfect storm' waiting to unfold. Military contingents as peacekeepers are having the most difficult time, handling the situation, in the wake of risks involved.
Related Concept Videos
Steps in Outbreak Investigation
395
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
395
Cross-reactivity
32.5K
Overview
32.5K
Bias in Epidemiological Studies
1.1K
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
1.1K
Causality in Epidemiology
1.3K
Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
1.3K
Pareto Chart
7.5K
A Pareto chart is a bar graph or a combination of both line and bar graphs. The bar lengths represent the individual values or the frequency, while the lines represent the cumulative total values. In this chart, the longest bars are arranged on the left and the shortest bars on the right, which makes it easier to read and interpret the data. It can also be called a Pareto diagram or Pareto analysis.
The Pareto chart is named after the Italian economist Vilfredo Pareto, who described the Pareto...
The Pareto chart is named after the Italian economist Vilfredo Pareto, who described the Pareto...
7.5K


